Machine learning and data mining in manufacturing

A Dogan, D Birant - Expert Systems with Applications, 2021 - Elsevier
Manufacturing organizations need to use different kinds of techniques and tools in order to
fulfill their foundation goals. In this aspect, using machine learning (ML) and data mining …

A survey on machine learning and internet of medical things-based approaches for handling COVID-19: Meta-analysis

SS Band, S Ardabili, A Yarahmadi… - Frontiers in Public …, 2022 - frontiersin.org
Early diagnosis, prioritization, screening, clustering, and tracking of patients with COVID-19,
and production of drugs and vaccines are some of the applications that have made it …

An enhanced distributed data aggregation method in the Internet of Things

MH Homaei, E Salwana, S Shamshirband - Sensors, 2019 - mdpi.com
“Internet of Things (IoT)” has emerged as a novel concept in the world of technology and
communication. In modern network technologies, the capability of transmitting data through …

Cooperative localization and mapping with robotic swarms

AG Pires, PAF Rezeck, RA Chaves… - Journal of Intelligent & …, 2021 - Springer
Abstract The Cooperative Localization (CL) problem considers the case where groups of
robots aim to improve their overall localization by sharing position estimates within the team …

Hybrid HCNN-KNN model enhances age estimation accuracy in orthopantomography

F Sharifonnasabi, NZ Jhanjhi, J John… - Frontiers in Public …, 2022 - frontiersin.org
Age estimation in dental radiographs Orthopantomography (OPG) is a medical imaging
technique that physicians and pathologists utilize for disease identification and legal …

Worker abnormal behavior recognition based on spatio-temporal graph convolution and attention model

Z Li, A Zhang, F Han, J Zhu, Y Wang - Electronics, 2023 - mdpi.com
In response to the problem where many existing research models only consider acquiring
the temporal information between sequences of continuous skeletons and in response to the …

DDSLA-RPL: Dynamic Decision System based on Learning Automata in the RPL protocol for achieving QoS

MH Homaei, SS Band, A Pescape, A Mosavi - IEEE Access, 2021 - ieeexplore.ieee.org
The internet of things is a worldwide technological development in communications. Low
Power and Lossy Networks (LLN) are a fundamental part of the internet of things with …

A Comprehensive Investigation of Genomic Variants in Prostate Cancer Reveals 30 Putative Regulatory Variants

M Labani, A Beheshti, A Argha… - International Journal of …, 2023 - mdpi.com
Prostate cancer (PC) is the most frequently diagnosed non-skin cancer in the world.
Previous studies have shown that genomic alterations represent the most common …

Tree-based data aggregation approach in periodic sensor networks using correlation matrix and polynomial regression

I Atoui, A Makhoul, S Tawbe… - 2016 IEEE Intl …, 2016 - ieeexplore.ieee.org
Sensor networks are a collection of sensor nodes that co-operatively transmit sensed data to
a base station. One of the well-known characteristics of Wireless Sensor Networks (WSNs) is …

High-precision vision localization system for autonomous guided vehicles in dusty industrial environments

X Liu, G Wang, K Chen - NAVIGATION: Journal of the Institute of …, 2022 - navi.ion.org
Ensuring a convenient yet accurate localization solution is an essential problem in wireless-
denied industrial scenarios. Therefore, in this study, a vision localization system with light …